Clinical biomarker-based biological age predicts deaths in Brazilian adults: the ELSA-Brasil study.

Biological age is a construct that seeks to evaluate the biological wear and tear process of the organism that cannot be observed by chronological age. We estimate individuals' biological age based on biomarkers from multiple systems and validate it through its association with mortality from natural causes. Biological age was estimated in 12,109 participants (6621 women and 5488 men) from the first visit of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) who had valid data for the biomarkers used in the analyses.

Identifying biologically implausible values in big longitudinal data: an example applied to child growth data from the Brazilian food and nutrition surveillance system.

Background: Several strategies for identifying biologically implausible values in longitudinal anthropometric data have recently been proposed, but the suitability of these strategies for large population datasets needs to be better understood. This study evaluated the impact of removing population outliers and the additional value of identifying and removing longitudinal outliers on the trajectories of length/height and weight and on the prevalence of child growth indicators in a large longitudinal dataset of child growth data.

Methods: Length/height and weight measurements of children aged 0 to 59 months from the Brazilian Food and Nutrition Surveillance System were analyzed.

Ethnoracial disparities in childhood growth trajectories in Brazil: a longitudinal nationwide study of four million children.

Background: The literature contains scarce data on inequalities in growth trajectories among children born to mothers of diverse ethnoracial background in the first 5 years of life.

Objective: We aimed to investigate child growth according to maternal ethnoracial group using a nationwide Brazilian database.

Methods: A population-based retrospective cohort study employed linked data from the CIDACS Birth Cohort and the Brazilian Food and Nutrition Surveillance System (SISVAN).

Quality of child anthropometric data from SISVAN, Brazil, 2008-2017.

Objective: To evaluate the quality of anthropometric data of children recorded in the Food and Nutrition Surveillance System (SISVAN) from 2008 to 2017.

Method: Descriptive study on the quality of anthropometric data of children under five years of age admitted in primary care services of the Unified Health System, from the individual databases of SISVAN. Data quality was annually assessed using the indicators: coverage, completeness, sex ratio, age distribution, weight and height digit preference, implausible z-score values, standard deviation, and normality of z-scores.

Multicenter validation of PIM3 and PIM2 in Brazilian pediatric intensive care units.

Objective: To validate the PIM3 score in Brazilian PICUs and compare its performance with the PIM2.

Methods: Observational, retrospective, multicenter study, including patients younger than 16 years old admitted consecutively from October 2013 to September 2019. We assessed the Standardized Mortality Ratio (SMR), the discrimination capability (using the area under the receiver operating characteristic curve - AUROC), and the calibration.

Mental Health and Emotional Disorders During the COVID-19 Pandemics: Prevalence and Extent in PICU Staff.

Objectives: To assess the prevalence of burnout, anxiety and depression symptoms, and posttraumatic stress disorder (PTSD) in PICU workers in Brazil during the first peak of the COVID-19 pandemic. To compare the results of subgroups stratified by age, gender, professional category, health system, and previous mental health disorders.

Design: Multicenter, cross-sectional study using an electronic survey.